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Research

Below are my main current projects, collaborations and a list of PhD and postdoc opportunities. 

There is also a separate, dedicated page for past projects and results.

Current projects

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Understanding turbulent transport processes in the coastal ocean

​Humans are largely a coastal species, with most of Britain’s population and 40% of the world’s population living within 100 km of the coast. Estuaries are particularly important, being vital transition and exchange zones between rivers and the sea and often hosting great cities like London. Rising sea levels, pollution, and population growth threaten these regions and their essential services. Fresh water will likely become the "gold" of the 21st century, central to health, industry and increasingly scarce. In estuaries and coastal waters, turbulence drives the transport of salt, pollutants, sediments and nutrients affecting water quality, erosion, fisheries, and infrastructure like wind turbines and subsea pipelines and communication cables. Turbulence remains one of the last unsolved problems in classical physics, and better understanding how it mixes stratified water layers is key to environmental engineering efforts for climate change mitigation. My research tackles this challenge using cutting-edge field observations, lab experiments, and computer simulations that probe turbulence in unprecedented detail.

Collaborations: A. Mashayek, A. Atoufi (U. Cambridge, Earth Sciences) and others through the Ocean Turbulence Special Interest Group.

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Revealing shear instabilities in estuaries with multibeam sonar imagery

In most of the ocean, including estuaries, denser water layers lie below lighter ones. In such stably-stratified systems, turbulence is often initiated by shear instabilities triggered by tidal forces or underwater topography. Instability grows into a beautiful coherent wave structure, as visualised above by sonar from an autonomous underwater vehicle in the Connecticut River estuary. This growing underwater wave then breaks into disorganised turbulence, mixing the layers. We are currently analysing game-changing multi-beam sonar imagery of turbulent mixing from US collaborators. These data show that mixing does not always occur by breaking in the ‘cores’ of the wave on a scale of 1 m (seen above), but also by smaller secondary shear instabilities along the ‘braids’ on a cm scale (see yellow regions above, ignoring the bright fish!) These findings provide new insights into the turbulent 'energy cascade' from large to small scales controlling the mixing rates of salt, nutrients, dissolved gasses, etc.

Collaborations: W. R. Geyer (Woods Hole Oceanographic Institution), C. Bassett (U. Washington)

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Measuring stratified turbulence in the lab with high-speed laser and cameras

To complement direct observations, laboratory experiments are crucial, like the Stratified Inclined Duct (SID, pictured above)​. This experiment, which I developed at Cambridge, uniquely sustains geophysically-relevant stratified turbulence under more controlled conditions than in the field. It also allows us to measure the flow with much higher resolution and accuracy using fast lasers and cameras to perform simultaneous, 3D Particle Image Velocimetry and Laser Induced Fluorescence. These data led to breakthroughs on the energetics of sustained stratified mixing and 3D coherent structures (see past projects). We are now extrapolating these findings from the laboratory scale to the geophysical scale using theory and models developed in tandem with observations (see above) and simulations (see below). Imaging stronger and faster turbulence with higher-speed laser and cameras (up to 1 kHz) would be an exciting research frontier to pursue for a gifted and ambitious PhD or postdoc!

Collaborations: S. B. Dalziel, P. F. Linden (U. Cambridge, DAMTP), X. Jiang (Imperial College, Aeronautics)

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Probing the finest scales of mixing with exascale simulations on GPU clusters

Computational fluid dynamics is a precious tool to complement field observations and laboratory experiments and build better models of turbulence. To do this, we must solve (but only approximately!) the 200-year-old Navier-Stokes equations governing turbulence on massive grids because of the extreme range of scales involved. This is particularly challenging in stratified turbulence, because energy cascades down to very small (micrometre) scales where the mixing of salt, heat or other tracers occurs. The ground-breaking simulations that we are currently analysing (pictured above) faithfully reproduce for the first time, the same kind of mean-shear-forced turbulence observed in the above estuary and lab experiment. These simulations were pioneered and run by collaborators in the USA on the world's first exascale computer, Frontier. They involved tens of thousands of GPUs, performing in parallel several billion billion operations per second (exaFLOPS), and are also quite challenging to analyse...

Collaborations: M. Couchman (York U. Toronto), S. de Bruyn Kops (U. Massachusetts Amherst) and others in the STRATA group: Supercomputing for Stratified Turbulence Research Advancing Theory and Applications.

People

People

I am looking for students and postdocs to join my group. If you have a strong quantitative background (engineering, physics, mathematics or similar) and the above research sounds exciting, please get in touch!

PhD opportunities

Exploring stratified turbulent mixing by shear instabilities in coastal waters 

​See the full advert here with instructions on how to apply for a start in 2025.

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Other sources of funding:

Postdoctoral opportunities

Researchers interested to join Imperial for a postdoc can apply to a range of fellowships:

 ... and probably many others. Note that each scheme has a particular set of eligibility criteria.

Previous members

Jan - May 2025

Jake Hewison from University of Cambridge (Mathematics)

“How do fish mix the ocean?” (experiments)

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Mar - Jul 2024

Valentin Samson from École Polytechnique (Engineering)

“Direct numerical simulation of stratified turbulence” (numerics)

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Feb - Apr 2024

Daniel Ward from University of Cambridge (Mathematics)

“The transition(s) to turbulence viewed through the lens of laboratory experiments” (modelling)

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Jun - Aug 2023

Marvil Cheung from University of Cambridge (Mathematics)

“Reduced-order modelling of the transitions to stratified turbulence” (numerics)

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Jun - Sep 2022

Arianna Cox from University of Cambridge (Mathematics)

“Machine learning to the rescue of big data: classifying experimental stratified turbulence” (numerics)

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Jun - Sep 2022

Stasiu Wolanski from University of Cambridge (Physics)

“High-speed, high-resolution imaging of early bubble growth in decompressed hydrogels” (experiments)

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Jun - Aug 2022

Jason Tang from University of Cambridge (Mathematics)

“Modelling of the transition from elastic cavity to fracturing crack in decompressed hydrogels” (modelling)

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Mar - May 2022

Keshav Raghavan from University of Cambridge (Mathematics)

“Data assimilation and super-resolution reconstruction of experimental turbulent flows” (essay)

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Mar - Aug 2021

Aly Kombargi from Ecole Polytechnique (Engineering)

“Early-stage growth of gas-filled cavities in decompressed hydrogels” (experiments)

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Jun - Sep 2020
Yansheng Zhang from University of Cambridge (Physics)

“Giving hydrogels decompression sickness: experiments” (experiments and modelling)

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Jun - Sep 2020
Zhiyuan Wei from University of Cambridge (Physics)

“Elastic modelling of spherical and fracturing bubbles in soft brittle solids” (modelling)

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Jun - Sep 2020
Joshua Cudby from the University of Cambridge (Mathematics)

“Weakly nonlinear Holmboe waves” (theory & numerics)

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Sep 2018 - Mar 2019
Yves-Marie Ducimetière from EPFL (Engineering)

“Confinement in stratified shear flows” (theory & numerics)

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Apr 2016 - Mar 2017
Ling Qu from South China Sea Institute of Oceanology in Guangzhou, China

“Experiments in the stratified inclined duct” (experiments)

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© Adrien Lefauve

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